Analysis of rainfall prediction using machine learning data mining and satellite techniques

  • Authors

    • Nikhilkumar B.Shardoor GITAM University
    • Mandapati Venkateswar Rao GITAM University
    https://doi.org/10.14419/ijet.v7i4.14125

    Received date: June 15, 2018

    Accepted date: July 29, 2018

    Published date: November 14, 2018

  • Big Data, Classification, Clustering, Data Analytics, Data Mining, Machine Learning, Rainfall Prediction and Regression.

  • Abstract

    In the era of big data, finding a solution from the huge data is a very big challenge. The buzz word Analytics which helps us in solving such problems, Data analytics is composed of various statistical and analytical methods used to develop new techniques to predict future possibilities. In the current scenario forecasting the rainfall is measured to be an important and thought-provoking task, as it’s closely associated with the agriculture, economy and human life. Accuracy of a rainfall forecasting has importance for countries like India whose economy is majorly depends on agriculture. The rainfall prediction is to predict the state of current weather condition. The weather is a dynamic in nature, statistical tech-niques are unsuccessful to provide thee decent accuracy of rainfall. This survey paper provides a different approaches like, Machine Learning, Data Mining and Satellite forecasting’s Techniques and their Algorithms are being used and analyzed in getting the better accuracy of rainfall. The comparative study helps experts and non-experts in understanding which method can gives better accuracy of rainfall prediction.

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  • How to Cite

    B.Shardoor, N., & Venkateswar Rao, M. (2018). Analysis of rainfall prediction using machine learning data mining and satellite techniques. International Journal of Engineering and Technology, 7(4), 4362-4367. https://doi.org/10.14419/ijet.v7i4.14125